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4 Best Food Apps for Finding Lunch Anywhere

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4 Best Food Apps for Finding Lunch Anywhere

Given the abundance of food and dietary restrictions in the world today, it is no wonder that people become irritated when hungry and in an unknown location. Luckily, food apps have kept up with the insatiable human need for delicious and healthy food in any location. Here are some of the best food apps available for you to meet your cravings or get your health fix.

1. Food Truck Follower

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        1. Food Truck Follower [Android] – these days, some of the best food comes from hawker stands around town rather than the finest eating establishment. Usually they provide a focus and dedication to their food (rather than ambiance) that makes this spectacular. Use this app to find great food trucks wherever you are.

        2. Dining Deals

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              Dining Deals [Android]  – sometimes it is just as hard to find a restaurant as it is to find cheap food. Dining Deals is a smart phone app that should help you to find some cheap deals to make your dollar go further.

              3. Grub Hub

              GrubHub Food Delivery 1
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                  GrubHub Food Delivery 3


                    Grub Hub [iOS] – feeling lazy? No problem. Grub Hub is a food app that allows you to order food for delivery within any of their 400 cities.

                    4. UrbanSpoon

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                          UrbanSpoon [iOS, Android, Windows, Blackberry] – the more food-specific version of Yelp, this app can give you all the ratings you need. Not sure what you feel like? Give the app a shake and find a shuffled result you may just love!

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                          Last Updated on December 18, 2020

                          Can Technology have Biases Like Humans?

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                          Can Technology have Biases Like Humans?

                          Technology has taken a vantage leap in providing solutions for man. Before now, technology used to appear complex and would require a great deal of expertise to handle solutions available. Today, we have technology applicable in the simplest human activities as smart products with intelligent algorithms powering them as they make error-free judgments and provide intelligent and analytic solutions.

                          Does technology have all the answers?

                          This article from Credit Suisse, tells us that technology does not have all the answers because it has been found to exhibit “similar biases,” as humans. No one can discredit the impact of technology, but it is not totally free of human input and this is the reason we experience these biases in many areas we have technology holding foot.

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                          Creating technological solutions transparently

                          This article suggests that the process of creating technological solutions be made transparent and subject to contribution from many people who would end up as users of the product – male, female, young, old, learned, unlearned and all other preferences as we have them. It also underscores the importance of having women on product development teams. This approach is not sure to eliminate all forms of bias, but it is a good way to start in order to appraise the full benefits of technology.

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                          Technology as the connecting tool

                          Technology so far has been a major connecting tool amongst us humans. It is used and appreciated by all regardless of race, language and sex. In order to keep it less subjective to these arguments about human biases. I believe we should gather opinions on products and solutions before making them available to the public. This could be done by gathering input from intended target users and receiving feedback across the stages of production.

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                          “Recognizing the problem is a start…success will depend on inclusive technologies that meet this vast untapped market.” This cannot be more apt especially at a time when we look up to technology for solutions. We should not muzzle our progress with technology by battling algorithm bias. The first way to avoid this battle is by reading this article here.

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